DocumentCode :
716678
Title :
Fast grasp quality evaluation with partial convex hull computation
Author :
Shuo Liu ; Carpin, Stefano
Author_Institution :
Sch. of Eng., Univ. of California, Merced, Merced, CA, USA
fYear :
2015
fDate :
26-30 May 2015
Firstpage :
4279
Lastpage :
4285
Abstract :
We present Partial Quick Hull (PQH), an algorithm to efficiently compute one of the most commonly used grasp quality metrics. The metric relies on the computation of the convex hull of a set of points in a six dimensional space. Built on top of widely used QuickHull algorithm, PQH exploits the relationship between the convex hull and the grasp quality metric to avoid computing the whole convex hull. PQH determines at run time when the computation can be ended because the grasp quality metric can be already determined from a partially computed convex hull - hence the name of the algorithm. This improvement greatly accelerates grasp quality evaluation for force closure grasps. When the grasp is not force closure, the partial computation does not apply and PQH then behaves exactly like QuickHull. A large set of experimental tests show how PQH largely outperforms QuickHull and better scales with the size of the input.
Keywords :
manipulators; PQH; force closure grasps; grasp quality evaluation; grasp quality metrics; partial convex hull computation; quickhull algorithm; six dimensional space; Approximation methods; Computational complexity; Force; Friction; Iron; Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/ICRA.2015.7139789
Filename :
7139789
Link To Document :
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